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Usability of k-compromise-free statistical databases

Ljiljana Brankovic, Mirka Miller, Jozef Siran

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A statistical database is said to be secure if no sensitive statistics are disclosed. An important problem in security of statistical databases is to maximize the number of disclosed statistics, while ensuring that the database is secure. In this paper we present a new result for the case of range queries and k-compromise in 1-dimensional statistical databases.

Original languageEnglish
Title of host publicationProceedings of the Eleventh Australasian Workshop on Combinatorial Algorithms (AWOCA2000)
EditorsLjiljana Brankovic, Joe Ryan
Place of PublicationNewcastle, Australia
PublisherThe University of Newcastle
Pages159-166
ISBN (Print)0725910984
Publication statusPublished - 31 Dec 2000
EventAWOCA2000: Eleventh Australasian Workshop on Combinatorial Algorithms - Hunter Valley, Australia
Duration: 29 Jul 20001 Aug 2000

Conference

ConferenceAWOCA2000: Eleventh Australasian Workshop on Combinatorial Algorithms
CityHunter Valley, Australia
Period29/07/001/08/00

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